Topic: "graph-generative-model"
calvin-zcx/moflow
MoFlow: an invertible flow model for generating molecular graphs
Language: Python - Size: 32.1 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 103 - Forks: 35
davidchouzdw/TagGen
A Data-Driven Graph Generative Model for Temporal Interaction Networks
Language: Python - Size: 141 KB - Last synced at: 8 months ago - Pushed at: over 2 years ago - Stars: 34 - Forks: 8
aidos-lab/curvature-filtrations
SCOTT: Synthesizing Curvature Operations and Topological Tools
Language: Python - Size: 1.05 MB - Last synced at: 1 day ago - Pushed at: 6 months ago - Stars: 14 - Forks: 3
zeno129/DYMOND
DYnamic MOtif-NoDes (DYMOND) is a dynamic network generative model based on temporal motifs and node behavior.
Language: Python - Size: 5.63 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 9 - Forks: 1
BorgwardtLab/autoregressive-noisy-filtration-modeling
Official implementation of the ANFM graph generative model
Language: Python - Size: 382 KB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 4 - Forks: 0
zeno129/DYANE
DYnamic Attributed Node rolEs (DYANE) is an attributed dynamic-network generative model based on temporal motifs and attributed node behavior.
Language: Python - Size: 2.97 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0